https://www.opentrain.ai/papers/anyflow-any-step-video-diffusion-model-with-on-policy-flow-map-distillation--arxiv-2605.13724/2026-05-14T04:22:14.968Z https://www.opentrain.ai/papers/mmskills-towards-multimodal-skills-for-general-visual-agents--arxiv-2605.13527/2026-05-18T06:24:15.759Z https://www.opentrain.ai/papers/inducing-overthink-hierarchical-genetic-algorithm-based-dos-attack-on-black-box--arxiv-2605.13338/2026-06-14T23:06:10.838Z https://www.opentrain.ai/papers/achieving-gold-medal-level-olympiad-reasoning-via-simple-and-unified-scaling--arxiv-2605.13301/2026-05-15T04:25:06.255Z https://www.opentrain.ai/papers/retrieval-is-cheap-show-me-the-code-executable-multi-hop-reasoning-for-retrieval--arxiv-2605.12975/2026-05-15T02:41:19.341Z https://www.opentrain.ai/papers/writesae-sparse-autoencoders-for-recurrent-state--arxiv-2605.12770/2026-05-14T04:22:13.615Z https://www.opentrain.ai/papers/docatlas-multilingual-document-understanding-across-80-languages--arxiv-2605.12623/2026-05-20T04:32:33.208Z https://www.opentrain.ai/papers/longmemeval-v2-evaluating-long-term-agent-memory-toward-experienced-colleagues--arxiv-2605.12493/2026-05-13T04:22:18.285Z https://www.opentrain.ai/papers/beyond-grpo-and-on-policy-distillation-an-empirical-sparse-to-dense-reward-princ--arxiv-2605.12483/2026-05-13T04:22:34.928Z https://www.opentrain.ai/papers/meme-multi-entity-evolving-memory-evaluation--arxiv-2605.12477/2026-05-13T07:23:37.016Z https://www.opentrain.ai/papers/reward-hacking-in-rubric-based-reinforcement-learning--arxiv-2605.12474/2026-05-14T02:45:30.973Z https://www.opentrain.ai/papers/lychsim-a-controllable-and-interactive-simulation-framework-for-vision-research--arxiv-2605.12449/2026-05-13T04:22:59.690Z https://www.opentrain.ai/papers/mocam-unified-novel-view-synthesis-via-structured-denoising-dynamics--arxiv-2605.12119/2026-05-13T04:23:02.081Z https://www.opentrain.ai/papers/world-action-models-the-next-frontier-in-embodied-ai--arxiv-2605.12090/2026-05-13T06:42:47.603Z https://www.opentrain.ai/papers/entropy-polarity-in-reinforcement-fine-tuning-direction-asymmetry-and-control--arxiv-2605.11775/2026-06-13T10:15:59.164Z https://www.opentrain.ai/papers/shapecodebench-a-renewable-benchmark-for-perception-to-program-reconstruction-of--arxiv-2605.11680/2026-05-14T04:24:19.284Z https://www.opentrain.ai/papers/the-dawn-of-world-action-interactive-models--arxiv-2605.11550/2026-05-14T04:22:27.310Z https://www.opentrain.ai/papers/overcoming-dynamics-blindness-training-free-pace-and-path-correction-for-vla-mod--arxiv-2605.11459/2026-05-17T15:24:39.370Z https://www.opentrain.ai/papers/adaptive-teacher-exposure-for-self-distillation-in-llm-reasoning--arxiv-2605.11458/2026-05-17T15:24:39.141Z https://www.opentrain.ai/papers/presentagent-2-towards-generalist-multimodal-presentation-agents--arxiv-2605.11363/2026-05-14T04:22:27.100Z https://www.opentrain.ai/papers/revision-scaling-computer-use-agents-via-temporal-visual-redundancy-reduction--arxiv-2605.11212/2026-06-11T21:44:35.090Z https://www.opentrain.ai/papers/deco-sparse-mixture-of-experts-with-dense-comparable-performance-on-end-side-dev--arxiv-2605.10933/2026-05-12T07:29:09.452Z https://www.opentrain.ai/papers/shepherd-a-runtime-substrate-empowering-meta-agents-with-a-formalized-execution--arxiv-2605.10913/2026-05-12T04:10:11.449Z https://www.opentrain.ai/papers/capvector-learning-transferable-capability-vectors-in-parametric-space-for-visio--arxiv-2605.10903/2026-05-12T09:56:42.326Z https://www.opentrain.ai/papers/rubricem-meta-rl-with-rubric-guided-policy-decomposition-beyond-verifiable-rewar--arxiv-2605.10899/2026-05-13T04:23:17.805Z https://www.opentrain.ai/papers/unmasking-on-policy-distillation-where-it-helps-where-it-hurts-and-why--arxiv-2605.10889/2026-05-12T21:27:31.885Z https://www.opentrain.ai/papers/beacon-a-multimodal-dataset-for-learning-behavioral-fingerprints-from-gameplay-d--arxiv-2605.10867/2026-05-14T21:27:44.459Z https://www.opentrain.ai/papers/towards-on-policy-data-evolution-for-visual-native-multimodal-deep-search-agents--arxiv-2605.10832/2026-05-13T06:42:47.606Z https://www.opentrain.ai/papers/nanoresearch-co-evolving-skills-memory-and-policy-for-personalized-research-auto--arxiv-2605.10813/2026-05-12T04:10:17.565Z https://www.opentrain.ai/papers/gridprobe-posterior-probing-for-adaptive-test-time-compute-in-long-video-vlms--arxiv-2605.10762/2026-05-12T21:27:37.299Z https://www.opentrain.ai/papers/multabench-benchmarking-multimodal-tabular-learning-with-text-and-image--arxiv-2605.10616/2026-05-15T02:42:02.844Z https://www.opentrain.ai/papers/paperfit-vision-in-the-loop-typesetting-optimization-for-scientific-documents--arxiv-2605.10341/2026-05-12T05:31:04.900Z https://www.opentrain.ai/papers/follow-the-mean-reference-guided-flow-matching--arxiv-2605.10302/2026-05-18T15:35:07.674Z https://www.opentrain.ai/papers/continual-harness-online-adaptation-for-self-improving-foundation-agents--arxiv-2605.09998/2026-05-13T04:21:56.792Z https://www.opentrain.ai/papers/preping-building-agent-memory-without-tasks--arxiv-2605.13880/2026-05-15T04:27:46.851Z https://www.opentrain.ai/papers/g-zero-self-play-for-open-ended-generation-from-zero-data--arxiv-2605.09959/2026-05-12T04:10:46.106Z https://www.opentrain.ai/papers/metal-sci-a-scientific-compute-benchmark-for-evolutionary-llm-kernel-search-on-a--arxiv-2605.09708/2026-05-12T07:29:07.467Z https://www.opentrain.ai/papers/make-each-token-count-towards-improving-long-context-performance-with-kv-cache-e--arxiv-2605.09649/2026-05-12T04:10:47.353Z https://www.opentrain.ai/papers/scratchpad-patching-decoupling-compute-from-patch-size-in-byte-level-language-mo--arxiv-2605.09630/2026-05-12T05:44:38.571Z https://www.opentrain.ai/papers/tacomas-test-time-co-evolution-of-topology-and-capability-in-llm-based-multi-age--arxiv-2605.09539/2026-05-13T10:25:43.572Z https://www.opentrain.ai/papers/loopus-recasting-pretrained-llms-into-looped-latent-refinement-models--arxiv-2605.11011/2026-05-13T04:23:18.775Z https://www.opentrain.ai/papers/offline-preference-optimization-for-rectified-flow-with-noise-tracked-pairs--arxiv-2605.09433/2026-05-15T02:41:56.699Z https://www.opentrain.ai/papers/sub-jepa-subspace-gaussian-regularization-for-stable-end-to-end-world-models--arxiv-2605.09241/2026-05-12T03:59:03.401Z https://www.opentrain.ai/papers/fortis-benchmarking-over-privilege-in-agent-skills--arxiv-2605.09163/2026-05-12T07:29:11.720Z https://www.opentrain.ai/papers/soohak-a-mathematician-curated-benchmark-for-evaluating-research-level-math-capa--arxiv-2605.09063/2026-05-12T03:59:35.837Z https://www.opentrain.ai/papers/oracle-anticipating-scams-from-partial-trajectories-in-streaming-app-usage--arxiv-2605.16363/2026-05-31T15:30:24.750Z https://www.opentrain.ai/papers/collabvr-collaborative-video-reasoning-with-vision-language-and-video-generation--arxiv-2605.08735/2026-05-12T05:22:17.401Z https://www.opentrain.ai/papers/pushing-biomolecular-utility-diversity-frontiers-with-supergroup-relative-policy--arxiv-2605.08659/2026-05-12T04:10:38.984Z https://www.opentrain.ai/papers/flashevolve-accelerating-agent-self-evolution-with-asynchronous-stage-orchestrat--arxiv-2605.08520/2026-05-12T05:40:57.008Z https://www.opentrain.ai/papers/results-and-retrospective-analysis-of-the-cods-2025-assetopsbench-challenge--arxiv-2605.08518/2026-05-14T04:22:23.648Z https://www.opentrain.ai/papers/momo-conditioned-contrastive-representation-learning-for-preference-modulated-pl--arxiv-2605.08512/2026-06-15T23:15:13.988Z https://www.opentrain.ai/papers/jina-embeddings-v5-omni-text-geometry-preserving-multimodal-embeddings-via-froze--arxiv-2605.08384/2026-05-12T16:49:22.946Z https://www.opentrain.ai/papers/auto-rubric-as-reward-from-implicit-preferences-to-explicit-multimodal-generativ--arxiv-2605.08354/2026-05-12T04:10:46.140Z https://www.opentrain.ai/papers/normalizing-trajectory-models--arxiv-2605.08078/2026-05-11T03:56:16.608Z https://www.opentrain.ai/papers/conformal-path-reasoning-trustworthy-knowledge-graph-question-answering-via-path--arxiv-2605.08077/2026-06-12T08:53:45.028Z https://www.opentrain.ai/papers/the-memory-curse-how-expanded-recall-erodes-cooperative-intent-in-llm-agents--arxiv-2605.08060/2026-06-15T20:48:37.260Z https://www.opentrain.ai/papers/accurate-and-efficient-statistical-testing-for-word-semantic-breadth--arxiv-2605.08048/2026-06-12T09:37:21.371Z https://www.opentrain.ai/papers/uncertainty-aware-structured-data-extraction-from-full-cmr-reports-via-distilled--arxiv-2605.08045/2026-06-12T05:24:59.536Z https://www.opentrain.ai/papers/scope-structured-decomposition-and-conditional-skill-orchestration-for-complex-i--arxiv-2605.08043/2026-05-11T05:26:57.424Z https://www.opentrain.ai/papers/position-mechanistic-interpretability-must-disclose-identification-assumptions-f--arxiv-2605.08012/2026-06-13T21:44:50.964Z https://www.opentrain.ai/papers/cocoreviewbench-a-completeness-and-correctness-oriented-benchmark-for-ai-reviewe--arxiv-2605.07905/2026-06-12T08:53:11.132Z https://www.opentrain.ai/papers/scene-recognizing-social-norms-and-sanctioning-in-group-chats--arxiv-2605.07823/2026-06-12T01:35:46.593Z https://www.opentrain.ai/papers/simct-recovering-lost-supervision-for-cross-tokenizer-on-policy-distillation--arxiv-2605.07711/2026-06-13T16:54:31.339Z https://www.opentrain.ai/papers/drip-r-a-benchmark-for-decision-making-and-reasoning-under-real-world-policy-amb--arxiv-2605.07699/2026-06-14T22:02:13.151Z https://www.opentrain.ai/papers/maven-multi-agent-verification-elaboration-network-with-in-step-epistemic-auditi--arxiv-2605.07646/2026-06-14T23:54:12.061Z https://www.opentrain.ai/papers/learning-to-communicate-locally-for-large-scale-multi-agent-pathfinding--arxiv-2605.07637/2026-05-17T21:19:32.923Z https://www.opentrain.ai/papers/safe-or-simply-incapable-rethinking-safety-evaluation-for-phone-use-agents--arxiv-2605.07630/2026-06-15T20:28:39.342Z https://www.opentrain.ai/papers/implicit-preference-alignment-for-human-image-animation--arxiv-2605.07545/2026-05-13T10:26:19.159Z https://www.opentrain.ai/papers/specblock-block-iterative-speculative-decoding-with-dynamic-tree-drafting--arxiv-2605.07243/2026-05-11T05:26:57.836Z https://www.opentrain.ai/papers/hypereyes-dual-grained-efficiency-aware-reinforcement-learning-for-parallel-mult--arxiv-2605.07177/2026-05-11T04:28:04.447Z https://www.opentrain.ai/papers/cliper-tailoring-diverse-user-preference-via-classifier-guided-inference-time-pe--arxiv-2605.07162/2026-06-12T11:02:12.145Z https://www.opentrain.ai/papers/learning-visual-feature-based-world-models-via-residual-latent-action--arxiv-2605.07079/2026-05-11T21:31:34.588Z https://www.opentrain.ai/papers/relit-live-relight-video-by-jointly-learning-environment-video--arxiv-2605.06658/2026-05-13T12:13:23.048Z https://www.opentrain.ai/papers/ai-co-mathematician-accelerating-mathematicians-with-agentic-ai--arxiv-2605.06651/2026-05-08T06:07:30.683Z https://www.opentrain.ai/papers/pianocore-combined-and-refined-piano-midi-dataset--arxiv-2605.06627/2026-06-12T18:26:55.207Z https://www.opentrain.ai/papers/skillos-learning-skill-curation-for-self-evolving-agents--arxiv-2605.06614/2026-05-08T06:19:30.919Z https://www.opentrain.ai/papers/geostack-a-framework-for-quasi-abelian-knowledge-composition-in-vlms--arxiv-2605.06477/2026-05-10T21:18:35.475Z https://www.opentrain.ai/papers/mia-signature-approximating-global-activation-for-long-context-understanding--arxiv-2605.06416/2026-05-10T09:33:03.502Z https://www.opentrain.ai/papers/humannet-scaling-human-centric-video-learning-to-one-million-hours--arxiv-2605.06747/2026-05-11T04:28:53.761Z https://www.opentrain.ai/papers/continuous-time-distribution-matching-for-few-step-diffusion-distillation--arxiv-2605.06376/2026-05-10T09:33:02.936Z https://www.opentrain.ai/papers/teaching-thinking-models-to-reason-with-tools-a-full-pipeline-recipe-for-tool-in--arxiv-2605.06326/2026-06-12T10:10:59.824Z https://www.opentrain.ai/papers/opsd-compresses-what-rlvr-teaches-a-post-rl-compaction-stage-for-reasoning-model--arxiv-2605.06188/2026-06-15T09:33:02.198Z https://www.opentrain.ai/papers/on-time-within-budget-constraint-driven-online-resource-allocation-for-agentic-w--arxiv-2605.06110/2026-06-10T00:01:20.156Z https://www.opentrain.ai/papers/uncovering-entity-identity-confusion-in-multimodal-knowledge-editing--arxiv-2605.06096/2026-05-12T04:11:11.091Z https://www.opentrain.ai/papers/personakit-pk-a-plug-and-play-platform-for-user-testing-diverse-roles-in-full-du--arxiv-2605.06007/2026-06-12T10:38:23.755Z https://www.opentrain.ai/papers/retrieval-from-within-an-intrinsic-capability-of-attention-based-models--arxiv-2605.05806/2026-05-14T15:51:51.222Z https://www.opentrain.ai/papers/steering-visual-generation-in-unified-multimodal-models-with-understanding-super--arxiv-2605.05781/2026-05-11T04:28:04.823Z https://www.opentrain.ai/papers/x-omniclaw-technical-report-a-unified-mobile-agent-for-multimodal-understanding--arxiv-2605.05765/2026-05-12T04:10:41.799Z https://www.opentrain.ai/papers/belief-memory-agent-memory-under-partial-observability--arxiv-2605.05583/2026-06-15T18:12:29.027Z https://www.opentrain.ai/papers/who-prices-cognitive-labor-in-the-age-of-agents-compute-anchored-wages--arxiv-2605.05558/2026-05-11T03:56:41.481Z https://www.opentrain.ai/papers/physforge-generating-physics-grounded-3d-assets-for-interactive-virtual-world--arxiv-2605.05163/2026-05-07T03:28:11.325Z https://www.opentrain.ai/papers/self-induced-outcome-potential-turn-level-credit-assignment-for-agents-without-v--arxiv-2605.04984/2026-06-14T03:29:36.450Z https://www.opentrain.ai/papers/a-foundation-model-for-zero-shot-logical-rule-induction--arxiv-2605.04916/2026-05-30T00:58:15.296Z https://www.opentrain.ai/papers/decodingtrust-agent-platform-dtap-a-controllable-and-interactive-red-teaming-pla--arxiv-2605.04808/2026-05-11T09:23:41.549Z https://www.opentrain.ai/papers/swe-webdevbench-evaluating-coding-agent-application-platforms-as-virtual-softwar--arxiv-2605.04637/2026-05-07T15:48:19.922Z https://www.opentrain.ai/papers/remotezero-geospatial-reasoning-with-zero-human-annotations--arxiv-2605.04451/2026-06-05T16:26:32.929Z https://www.opentrain.ai/papers/the-scaling-properties-of-implicit-deductive-reasoning-in-transformers--arxiv-2605.04330/2026-05-10T15:22:44.692Z https://www.opentrain.ai/papers/self-prompting-small-language-models-for-privacy-sensitive-clinical-information--arxiv-2605.04221/2026-06-14T12:13:44.538Z https://www.opentrain.ai/papers/frontier-lag-a-bibliometric-audit-of-capability-misrepresentation-in-academic-ai--arxiv-2605.04135/2026-06-10T00:02:20.960Z https://www.opentrain.ai/papers/rethinking-reasoning-intensive-retrieval-evaluating-and-advancing-retrievers-in--arxiv-2605.04018/2026-06-15T12:03:59.416Z https://www.opentrain.ai/papers/symptomai-towards-a-conversational-ai-agent-for-everyday-symptom-assessment--arxiv-2605.04012/2026-05-06T10:19:21.068Z https://www.opentrain.ai/papers/a-benchmark-for-interactive-world-models-with-a-unified-action-generation-framew--arxiv-2605.03941/2026-05-06T10:19:21.069Z https://www.opentrain.ai/papers/reproducing-complex-set-compositional-information-retrieval--arxiv-2605.03824/2026-06-13T14:30:40.955Z https://www.opentrain.ai/papers/patre-a-full-stage-office-action-and-rebuttal-generation-benchmark-for-patent-ex--arxiv-2605.03571/2026-05-06T10:18:52.635Z https://www.opentrain.ai/papers/skcc-portable-and-secure-skill-compilation-for-cross-framework-llm-agents--arxiv-2605.03353/2026-05-11T16:02:26.863Z https://www.opentrain.ai/papers/adapts-agentic-decomposition-for-automated-protocol-agnostic-tracking-of-symptom--arxiv-2605.03212/2026-06-09T23:43:08.124Z https://www.opentrain.ai/papers/aris-autonomous-research-via-adversarial-multi-agent-collaboration--arxiv-2605.03042/2026-05-07T10:33:57.796Z https://www.opentrain.ai/papers/molmoact2-action-reasoning-models-for-real-world-deployment--arxiv-2605.02881/2026-05-06T06:10:42.035Z https://www.opentrain.ai/papers/heavyskill-heavy-thinking-as-the-inner-skill-in-agentic-harness--arxiv-2605.02396/2026-05-06T10:18:53.470Z https://www.opentrain.ai/papers/distilling-long-cot-reasoning-through-collaborative-step-wise-multi-teacher-deco--arxiv-2605.02290/2026-05-18T08:39:23.861Z https://www.opentrain.ai/papers/physicianbench-evaluating-llm-agents-in-real-world-ehr-environments--arxiv-2605.02240/2026-05-05T21:29:37.781Z https://www.opentrain.ai/papers/perturbation-dose-responses-in-recursive-llm-loops-raw-switching-stochastic-floo--arxiv-2605.02236/2026-06-04T13:51:44.403Z https://www.opentrain.ai/papers/generative-modeling-with-orbit-space-particle-flow-matching--arxiv-2605.02222/2026-05-05T21:29:36.956Z https://www.opentrain.ai/papers/t-2-po-uncertainty-guided-exploration-control-for-stable-multi-turn-agentic-rein--arxiv-2605.02178/2026-05-05T21:29:37.862Z https://www.opentrain.ai/papers/video-generation-with-predictive-latents--arxiv-2605.02134/2026-05-07T14:16:42.681Z https://www.opentrain.ai/papers/beyond-semantic-similarity-rethinking-retrieval-for-agentic-search-via-direct-co--arxiv-2605.05242/2026-05-10T21:18:38.785Z https://www.opentrain.ai/papers/hallucinations-undermine-trust-metacognition-is-a-way-forward--arxiv-2605.01428/2026-05-06T10:19:43.470Z https://www.opentrain.ai/papers/tt4d-a-pipeline-and-dataset-for-table-tennis-4d-reconstruction-from-monocular-vi--arxiv-2605.01234/2026-05-07T13:13:04.496Z https://www.opentrain.ai/papers/agentic-ai-systems-should-be-designed-as-marginal-token-allocators--arxiv-2605.01214/2026-05-06T10:19:23.201Z https://www.opentrain.ai/papers/wildtablebench-benchmarking-multimodal-foundation-models-on-table-understanding--arxiv-2605.01018/2026-05-18T04:31:43.268Z https://www.opentrain.ai/papers/lase-language-adversarial-speaker-encoding-for-indic-cross-script-identity-prese--arxiv-2605.00777/2026-05-05T10:00:01.567Z https://www.opentrain.ai/papers/medmosaic-a-challenging-large-scale-benchmark-of-diverse-medical-audio--arxiv-2605.00969/2026-06-14T17:02:42.109Z https://www.opentrain.ai/papers/blenderrag-high-fidelity-3d-object-generation-via-retrieval-augmented-code-synth--arxiv-2605.00632/2026-05-06T10:19:44.524Z https://www.opentrain.ai/papers/learning-while-deploying-fleet-scale-reinforcement-learning-for-generalist-robot--arxiv-2605.00416/2026-05-05T15:43:23.039Z https://www.opentrain.ai/papers/trees-to-flows-and-back-unifying-decision-trees-and-diffusion-models--arxiv-2605.00414/2026-05-05T21:29:53.397Z https://www.opentrain.ai/papers/towards-customized-multimodal-role-play--arxiv-2605.08129/2026-05-26T07:12:50.186Z https://www.opentrain.ai/papers/cgm-jepa-learning-consistent-continuous-glucose-monitor-representations-via-pred--arxiv-2605.00933/2026-05-11T16:02:21.055Z https://www.opentrain.ai/papers/online-self-calibration-against-hallucination-in-vision-language-models--arxiv-2605.00323/2026-05-05T18:25:25.711Z https://www.opentrain.ai/papers/code-world-model-preparedness-report--arxiv-2605.00932/2026-05-06T04:20:09.472Z https://www.opentrain.ai/papers/linking-spatial-biology-and-clinical-histology-via-haiku--arxiv-2605.00925/2026-05-06T10:19:22.112Z https://www.opentrain.ai/papers/representation-frechet-loss-for-visual-generation--arxiv-2604.28190/2026-05-04T04:25:18.286Z https://www.opentrain.ai/papers/synthetic-computers-at-scale-for-long-horizon-productivity-simulation--arxiv-2604.28181/2026-05-04T00:53:42.035Z https://www.opentrain.ai/papers/intern-atlas-a-methodological-evolution-graph-as-research-infrastructure-for-ai--arxiv-2604.28158/2026-05-04T04:25:18.149Z https://www.opentrain.ai/papers/mocapanything-v2-end-to-end-motion-capture-for-arbitrary-skeletons--arxiv-2604.28130/2026-05-04T13:40:34.096Z https://www.opentrain.ai/papers/beyond-sft-to-rl-pre-alignment-via-black-box-on-policy-distillation-for-multimod--arxiv-2604.28123/2026-05-06T10:18:53.776Z https://www.opentrain.ai/papers/world-model-for-robot-learning-a-comprehensive-survey--arxiv-2605.00080/2026-05-13T04:21:46.810Z https://www.opentrain.ai/papers/windowsworld-a-process-centric-benchmark-of-autonomous-gui-agents-in-professiona--arxiv-2604.27776/2026-05-06T10:19:21.070Z https://www.opentrain.ai/papers/heterogeneous-scientific-foundation-model-collaboration--arxiv-2604.27351/2026-05-04T00:53:41.690Z https://www.opentrain.ai/papers/step-level-optimization-for-efficient-computer-use-agents--arxiv-2604.27151/2026-05-05T01:16:28.513Z https://www.opentrain.ai/papers/co-evolving-policy-distillation--arxiv-2604.27083/2026-05-04T13:40:33.434Z https://www.opentrain.ai/papers/length-value-model-scalable-value-pretraining-for-token-level-length-modeling--arxiv-2604.27039/2026-05-04T04:21:20.730Z https://www.opentrain.ai/papers/accelerating-rl-post-training-rollouts-via-system-integrated-speculative-decodin--arxiv-2604.26779/2026-05-03T02:41:29.322Z https://www.opentrain.ai/papers/fash-icnn-making-editorial-fashion-identity-inspectable-through-multimodal-cnn-p--arxiv-2604.26186/2026-05-03T02:41:52.800Z https://www.opentrain.ai/papers/operating-layer-controls-for-onchain-language-model-agents-under-real-capital--arxiv-2604.26091/2026-05-04T00:53:50.833Z https://www.opentrain.ai/papers/dv-world-benchmarking-data-visualization-agents-in-real-world-scenarios--arxiv-2604.25914/2026-04-30T15:48:41.287Z https://www.opentrain.ai/papers/how-fast-should-a-model-commit-to-supervision-training-reasoning-models-on-the-t--arxiv-2604.25907/2026-06-16T03:38:13.097Z https://www.opentrain.ai/papers/mutual-forcing-dual-mode-self-evolution-for-fast-autoregressive-audio-video-char--arxiv-2604.25819/2026-04-30T15:52:24.385Z https://www.opentrain.ai/papers/maic-ui-making-interactive-courseware-with-generative-ui--arxiv-2604.25806/2026-06-15T12:44:46.656Z https://www.opentrain.ai/papers/kinder-a-physical-reasoning-benchmark-for-robot-learning-and-planning--arxiv-2604.25788/2026-05-07T21:25:06.815Z https://www.opentrain.ai/papers/psp-an-interpretable-per-dimension-accent-benchmark-for-indic-text-to-speech--arxiv-2604.25476/2026-05-03T02:42:22.858Z https://www.opentrain.ai/papers/r-3-sql-ranking-reward-and-resampling-for-text-to-sql--arxiv-2604.25325/2026-05-11T09:23:38.717Z https://www.opentrain.ai/papers/barred-synthetic-training-of-custom-policy-guardrails-via-asymmetric-debate--arxiv-2604.25203/2026-05-01T01:43:35.903Z https://www.opentrain.ai/papers/iam-identity-aware-human-motion-and-shape-joint-generation--arxiv-2604.25164/2026-04-30T15:52:29.658Z https://www.opentrain.ai/papers/vipo-visual-preference-optimization-at-scale--arxiv-2604.24953/2026-06-16T02:33:58.328Z https://www.opentrain.ai/papers/learning-from-noisy-preferences-a-semi-supervised-learning-approach-to-direct-pr--arxiv-2604.24952/2026-05-05T01:16:31.071Z https://www.opentrain.ai/papers/co-director-agentic-generative-video-storytelling--arxiv-2604.24842/2026-04-30T23:48:39.945Z https://www.opentrain.ai/papers/tuna-2-pixel-embeddings-beat-vision-encoders-for-multimodal-understanding-and-ge--arxiv-2604.24763/2026-04-29T00:24:08.672Z https://www.opentrain.ai/papers/meta-cot-enhancing-granularity-and-generalization-in-image-editing--arxiv-2604.24625/2026-04-30T06:03:28.370Z https://www.opentrain.ai/papers/autogui-v2-a-comprehensive-multi-modal-gui-functionality-understanding-benchmark--arxiv-2604.24441/2026-05-01T01:50:55.047Z https://www.opentrain.ai/papers/diffusion-templates-a-unified-plugin-framework-for-controllable-diffusion--arxiv-2604.24351/2026-05-03T02:41:38.994Z https://www.opentrain.ai/papers/revsi-rebuilding-visual-spatial-intelligence-evaluation-for-accurate-assessment--arxiv-2604.24300/2026-04-29T00:24:03.733Z https://www.opentrain.ai/papers/muss-a-large-scale-dataset-and-cinematic-narrative-benchmark-for-multi-shot-subj--arxiv-2604.23789/2026-05-12T04:09:57.217Z https://www.opentrain.ai/papers/clawmark-a-living-world-benchmark-for-multi-turn-multi-day-multimodal-coworker-a--arxiv-2604.23781/2026-04-29T00:24:04.332Z https://www.opentrain.ai/papers/vision-language-action-safety-threats-challenges-evaluations-and-mechanisms--arxiv-2604.23775/2026-04-29T00:24:01.781Z https://www.opentrain.ai/papers/analogretriever-learning-cross-modal-representations-for-analog-circuit-retrieva--arxiv-2604.23195/2026-05-05T17:43:56.760Z https://www.opentrain.ai/papers/proeval-proactive-failure-discovery-and-efficient-performance-estimation-for-gen--arxiv-2604.23099/2026-06-15T14:19:30.015Z https://www.opentrain.ai/papers/code-broker-a-multi-agent-system-for-automated-code-quality-assessment--arxiv-2604.23088/2026-06-11T11:24:14.830Z https://www.opentrain.ai/papers/representational-harms-in-llm-generated-narratives-against-global-majority-natio--arxiv-2604.22749/2026-06-13T17:33:46.392Z https://www.opentrain.ai/papers/agentic-world-modeling-foundations-capabilities-laws-and-beyond--arxiv-2604.22748/2026-06-09T16:29:29.371Z https://www.opentrain.ai/papers/rethinking-xai-evaluation-a-human-centered-audit-of-shapley-benchmarks-in-high-s--arxiv-2604.22662/2026-06-13T15:16:04.590Z https://www.opentrain.ai/papers/from-graphemic-dependence-to-lexical-structure-a-markovian-perspective-on-dante--arxiv-2604.22626/2026-06-09T02:38:46.041Z https://www.opentrain.ai/papers/flowanchor-stabilizing-the-editing-signal-for-inversion-free-video-editing--arxiv-2604.22586/2026-04-28T10:59:53.716Z https://www.opentrain.ai/papers/quantclaw-precision-where-it-matters-for-openclaw--arxiv-2604.22577/2026-06-14T03:32:16.047Z https://www.opentrain.ai/papers/data-free-contribution-estimation-in-federated-learning-using-gradient-von-neuma--arxiv-2604.22562/2026-06-15T06:15:25.467Z https://www.opentrain.ai/papers/cross-stage-coherence-in-hierarchical-driving-vqa-explicit-baselines-and-learned--arxiv-2604.22560/2026-06-15T03:11:14.753Z https://www.opentrain.ai/papers/armssl-adversarial-robust-black-box-watermarking-for-self-supervised-learning-pr--arxiv-2604.22550/2026-06-15T13:21:48.268Z https://www.opentrain.ai/papers/superminds-test-actively-evaluating-collective-intelligence-of-agent-society-via--arxiv-2604.22452/2026-05-17T20:12:14.801Z https://www.opentrain.ai/papers/from-skills-to-talent-organising-heterogeneous-agents-as-a-real-world-company--arxiv-2604.22446/2026-06-15T00:26:17.268Z https://www.opentrain.ai/papers/cognitivetwin-robust-multi-modal-digital-twins-for-predicting-cognitive-decline--arxiv-2604.22428/2026-06-15T14:42:49.661Z https://www.opentrain.ai/papers/from-local-to-cluster-a-unified-framework-for-causal-discovery-with-latent-varia--arxiv-2604.22416/2026-06-09T00:27:33.247Z https://www.opentrain.ai/papers/contexts-are-never-long-enough-structured-reasoning-for-scalable-question-answer--arxiv-2604.22294/2026-06-10T17:56:33.527Z https://www.opentrain.ai/papers/stem-structure-tracing-evidence-mining-for-knowledge-graphs-driven-retrieval-aug--arxiv-2604.22282/2026-06-11T08:00:29.922Z https://www.opentrain.ai/papers/navigating-large-scale-document-collections-mudabench-for-multi-document-analyti--arxiv-2604.22239/2026-06-16T00:29:30.349Z https://www.opentrain.ai/papers/preserve-support-not-correspondence-dynamic-routing-for-offline-reinforcement-le--arxiv-2604.22229/2026-06-15T10:41:50.322Z https://www.opentrain.ai/papers/a-co-evolutionary-theory-of-human-ai-coexistence-mutualism-governance-and-dynami--arxiv-2604.22227/2026-05-22T17:34:41.146Z https://www.opentrain.ai/papers/an-llm-driven-closed-loop-autonomous-learning-framework-for-robots-facing-uncove--arxiv-2604.22199/2026-06-10T00:01:15.284Z https://www.opentrain.ai/papers/reliable-self-harm-risk-screening-via-adaptive-multi-agent-llm-systems--arxiv-2604.22154/2026-06-12T21:21:51.052Z https://www.opentrain.ai/papers/removing-sandbagging-in-llms-by-training-with-weak-supervision--arxiv-2604.22082/2026-06-14T06:33:33.326Z https://www.opentrain.ai/papers/sound-agentic-science-requires-adversarial-experiments--arxiv-2604.22080/2026-06-13T16:21:49.172Z https://www.opentrain.ai/papers/layerboost-layer-aware-attention-reduction-for-efficient-llms--arxiv-2604.22050/2026-06-15T01:44:15.619Z https://www.opentrain.ai/papers/source-modality-monitoring-in-vision-language-models--arxiv-2604.22038/2026-06-13T09:50:50.974Z https://www.opentrain.ai/papers/probing-visual-planning-in-image-editing-models--arxiv-2604.22868/2026-05-03T02:42:13.352Z https://www.opentrain.ai/papers/soft-anisotropic-diagrams-for-differentiable-image-representation--arxiv-2604.21984/2026-05-05T21:29:52.643Z https://www.opentrain.ai/papers/seeing-fast-and-slow-learning-the-flow-of-time-in-videos--arxiv-2604.21931/2026-06-14T11:01:39.734Z https://www.opentrain.ai/papers/unigendet-a-unified-generative-discriminative-framework-for-co-evolutionary-imag--arxiv-2604.21904/2026-04-27T16:03:45.335Z https://www.opentrain.ai/papers/worldmark-a-unified-benchmark-suite-for-interactive-video-world-models--arxiv-2604.21686/2026-04-27T12:57:14.214Z https://www.opentrain.ai/papers/seeing-isn-t-believing-uncovering-blind-spots-in-evaluator-vision-language-model--arxiv-2604.21523/2026-05-03T02:40:41.923Z https://www.opentrain.ai/papers/vlaa-gui-knowing-when-to-stop-recover-and-search-a-modular-framework-for-gui-aut--arxiv-2604.21375/2026-06-16T02:35:15.764Z https://www.opentrain.ai/papers/cross-entropy-is-load-bearing-a-pre-registered-scope-test-of-the-k-way-energy-pr--arxiv-2604.21286/2026-06-01T13:38:25.261Z https://www.opentrain.ai/papers/cross-session-threats-in-ai-agents-benchmark-evaluation-and-algorithms--arxiv-2604.21131/2026-06-09T14:36:54.373Z https://www.opentrain.ai/papers/weighting-what-matters-boosting-sample-efficiency-in-medical-report-generation-v--arxiv-2604.21082/2026-06-15T12:56:25.334Z https://www.opentrain.ai/papers/traces-tagging-reasoning-steps-for-adaptive-cost-efficient-early-stopping--arxiv-2604.21057/2026-05-31T20:09:27.219Z https://www.opentrain.ai/papers/the-last-harness-you-ll-ever-build--arxiv-2604.21003/2026-05-03T02:41:27.669Z https://www.opentrain.ai/papers/devi-physics-based-dexterous-human-object-interaction-via-synthetic-video-imitat--arxiv-2604.20841/2026-04-28T02:44:34.424Z https://www.opentrain.ai/papers/swe-chat-coding-agent-interactions-from-real-users-in-the-wild--arxiv-2604.20779/2026-04-24T01:44:32.461Z https://www.opentrain.ai/papers/ask-only-when-needed-proactive-retrieval-from-memory-and-skills-for-experience-d--arxiv-2604.20572/2026-05-30T06:45:25.417Z https://www.opentrain.ai/papers/momo-a-framework-for-seamless-physical-verbal-and-graphical-robot-skill-learning--arxiv-2604.20468/2026-06-14T11:06:32.167Z https://www.opentrain.ai/papers/medskillaudit-a-domain-specific-audit-framework-for-medical-research-agent-skill--arxiv-2604.20441/2026-05-07T02:55:06.903Z https://www.opentrain.ai/papers/building-a-precise-video-language-with-human-ai-oversight--arxiv-2604.21718/2026-04-28T10:59:51.332Z https://www.opentrain.ai/papers/cortex-2-0-grounding-world-models-in-real-world-industrial-deployment--arxiv-2604.20246/2026-04-24T01:44:29.340Z https://www.opentrain.ai/papers/unit-toward-a-unified-physical-language-for-human-to-humanoid-policy-learning-an--arxiv-2604.19734/2026-04-27T09:16:11.755Z https://www.opentrain.ai/papers/taming-actor-observer-asymmetry-in-agents-via-dialectical-alignment--arxiv-2604.19548/2026-04-29T00:24:00.109Z https://www.opentrain.ai/papers/attn-fiqa-interpretable-attention-based-face-image-quality-assessment-with-visio--arxiv-2604.22841/2026-04-29T00:23:56.195Z https://www.opentrain.ai/papers/does-self-consistency-improve-the-recall-of-encyclopedic-knowledge--arxiv-2604.19395/2026-06-15T13:31:31.729Z https://www.opentrain.ai/papers/tempo-scaling-test-time-training-for-large-reasoning-models--arxiv-2604.19295/2026-04-22T21:20:04.128Z https://www.opentrain.ai/papers/clawnet-human-symbiotic-agent-network-for-cross-user-autonomous-cooperation--arxiv-2604.19211/2026-04-22T21:20:06.235Z https://www.opentrain.ai/papers/multiworld-scalable-multi-agent-multi-view-video-world-models--arxiv-2604.18564/2026-04-21T14:58:41.567Z https://www.opentrain.ai/papers/clawenvkit-automatic-environment-generation-for-claw-like-agents--arxiv-2604.18543/2026-04-21T15:31:48.787Z https://www.opentrain.ai/papers/onevl-one-step-latent-reasoning-and-planning-with-vision-language-explanation--arxiv-2604.18486/2026-04-21T14:50:29.641Z https://www.opentrain.ai/papers/marco-navigating-the-unseen-space-of-semantic-correspondence--arxiv-2604.18267/2026-04-22T07:44:50.091Z https://www.opentrain.ai/papers/mitigating-multimodal-hallucination-via-phase-wise-self-reward--arxiv-2604.17982/2026-04-23T04:06:34.507Z https://www.opentrain.ai/papers/modeling-multiple-support-strategies-within-a-single-turn-for-emotional-support--arxiv-2604.17972/2026-04-21T14:58:38.005Z https://www.opentrain.ai/papers/latent-preference-modeling-for-cross-session-personalized-tool-calling--arxiv-2604.17886/2026-04-22T00:10:20.861Z https://www.opentrain.ai/papers/grasp-graph-structured-skill-compositions-for-llm-agents--arxiv-2604.17870/2026-06-15T01:53:25.793Z https://www.opentrain.ai/papers/answer-only-as-precisely-as-justified-calibrated-claim-level-specificity-control--arxiv-2604.17487/2026-06-16T03:15:16.351Z https://www.opentrain.ai/papers/unimesh-unifying-3d-mesh-understanding-and-generation--arxiv-2604.17472/2026-04-22T21:20:06.883Z https://www.opentrain.ai/papers/skillflow-benchmarking-lifelong-skill-discovery-and-evolution-for-autonomous-age--arxiv-2604.17308/2026-04-22T00:10:22.664Z https://www.opentrain.ai/papers/the-continuity-layer-why-intelligence-needs-an-architecture-for-what-it-carries--arxiv-2604.17273/2026-04-22T05:19:32.023Z https://www.opentrain.ai/papers/bolzano-case-studies-in-llm-assisted-mathematical-research--arxiv-2604.16989/2026-06-15T12:45:47.060Z https://www.opentrain.ai/papers/the-cognitive-penalty-ablating-system-1-and-system-2-reasoning-in-edge-native-sl--arxiv-2604.16913/2026-04-23T04:06:34.323Z https://www.opentrain.ai/papers/crowded-in-b-space-calibrating-shared-directions-for-lora-merging--arxiv-2604.16826/2026-04-21T09:38:19.250Z https://www.opentrain.ai/papers/benign-fine-tuning-breaks-safety-alignment-in-audio-llms--arxiv-2604.16659/2026-04-26T21:16:25.531Z https://www.opentrain.ai/papers/revisiting-a-pain-in-the-neck-a-semantic-reasoning-benchmark-for-language-models--arxiv-2604.16593/2026-04-21T09:38:01.930Z https://www.opentrain.ai/papers/chain-of-thought-degrades-visual-spatial-reasoning-capabilities-of-multimodal-ll--arxiv-2604.16060/2026-04-23T04:06:34.998Z https://www.opentrain.ai/papers/elucidating-the-snr-t-bias-of-diffusion-probabilistic-models--arxiv-2604.16044/2026-04-21T04:07:12.811Z https://www.opentrain.ai/papers/cut-your-losses-learning-to-prune-paths-early-for-efficient-parallel-reasoning--arxiv-2604.16029/2026-04-20T21:18:47.054Z https://www.opentrain.ai/papers/where-does-output-diversity-collapse-in-post-training--arxiv-2604.16027/2026-04-21T04:07:06.239Z https://www.opentrain.ai/papers/voxmind-an-end-to-end-agentic-spoken-dialogue-system--arxiv-2604.15710/2026-04-22T03:33:42.733Z https://www.opentrain.ai/papers/symbolic-guardrails-for-domain-specific-agents-stronger-safety-and-security-guar--arxiv-2604.15579/2026-04-22T05:19:30.704Z https://www.opentrain.ai/papers/1d-ordered-tokens-enable-efficient-test-time-search--arxiv-2604.15453/2026-04-20T21:18:33.591Z https://www.opentrain.ai/papers/leapalign-post-training-flow-matching-models-at-any-generation-step-by-building--arxiv-2604.15311/2026-04-19T21:13:19.736Z https://www.opentrain.ai/papers/globalsplat-efficient-feed-forward-3d-gaussian-splatting-via-global-scene-tokens--arxiv-2604.15284/2026-04-20T04:09:17.592Z https://www.opentrain.ai/papers/prism-symbolic-superoptimization-of-tensor-programs--arxiv-2604.15272/2026-06-01T02:07:23.456Z https://www.opentrain.ai/papers/coopeval-benchmarking-cooperation-sustaining-mechanisms-and-llm-agents-in-social--arxiv-2604.15267/2026-05-22T06:40:20.211Z https://www.opentrain.ai/papers/agentic-microphysics-a-manifesto-for-generative-ai-safety--arxiv-2604.15236/2026-05-22T07:50:36.825Z https://www.opentrain.ai/papers/blue-data-intelligence-layer-streaming-data-and-agents-for-multi-source-multi-mo--arxiv-2604.15233/2026-05-22T05:46:25.048Z https://www.opentrain.ai/papers/radagent-a-tool-using-ai-agent-for-stepwise-interpretation-of-chest-computed-tom--arxiv-2604.15231/2026-05-22T07:38:25.599Z https://www.opentrain.ai/papers/context-over-content-exposing-evaluation-faking-in-automated-judges--arxiv-2604.15224/2026-05-21T23:24:10.130Z https://www.opentrain.ai/papers/ai-assisted-requirements-engineering-an-empirical-evaluation-relative-to-expert--arxiv-2604.15222/2026-05-22T08:08:30.264Z https://www.opentrain.ai/papers/learning-to-think-like-a-cartoon-captionist-incongruity-resolution-supervision-f--arxiv-2604.15210/2026-05-22T08:38:07.094Z https://www.opentrain.ai/papers/benchmarking-classical-coverage-path-planning-heuristics-on-irregular-hexagonal--arxiv-2604.15202/2026-05-22T07:49:19.613Z https://www.opentrain.ai/papers/meituan-merchant-business-diagnosis-via-policy-guided-dual-process-user-simulati--arxiv-2604.15190/2026-05-22T07:43:10.380Z https://www.opentrain.ai/papers/prl-bench-a-comprehensive-benchmark-evaluating-llms-capabilities-in-frontier-phy--arxiv-2604.15411/2026-04-20T21:18:50.445Z https://www.opentrain.ai/papers/vispco-visual-token-pruning-configuration-optimization-via-budget-aware-pareto-f--arxiv-2604.15188/2026-06-12T08:53:12.150Z https://www.opentrain.ai/papers/agent-aided-design-for-dynamic-cad-models--arxiv-2604.15184/2026-05-22T06:10:36.059Z https://www.opentrain.ai/papers/llms-gaming-verifiers-rlvr-can-lead-to-reward-hacking--arxiv-2604.15149/2026-05-31T20:58:23.388Z https://www.opentrain.ai/papers/srmu-relevance-gated-updates-for-streaming-hyperdimensional-memories--arxiv-2604.15121/2026-05-22T07:00:11.452Z https://www.opentrain.ai/papers/from-reactive-to-proactive-assessing-the-proactivity-of-voice-agents-via-provoic--arxiv-2604.15037/2026-05-22T07:38:53.176Z https://www.opentrain.ai/papers/coevo-co-evolutionary-framework-for-joint-functional-correctness-and-ppa-optimiz--arxiv-2604.15001/2026-05-22T07:37:28.883Z https://www.opentrain.ai/papers/cura-clinical-uncertainty-risk-alignment-for-language-model-based-risk-predictio--arxiv-2604.14651/2026-06-16T02:40:43.551Z https://www.opentrain.ai/papers/switch-kd-visual-switch-knowledge-distillation-for-vision-language-models--arxiv-2604.14629/2026-04-20T09:38:35.072Z https://www.opentrain.ai/papers/don-t-retrieve-navigate-distilling-enterprise-knowledge-into-navigable-agent-ski--arxiv-2604.14572/2026-04-20T09:38:31.364Z https://www.opentrain.ai/papers/tracer-trace-based-adaptive-cost-efficient-routing-for-llm-classification--arxiv-2604.14531/2026-06-15T17:06:16.011Z https://www.opentrain.ai/papers/hy-world-2-0-a-multi-modal-world-model-for-reconstructing-generating-and-simulat--arxiv-2604.14268/2026-04-19T21:13:22.990Z https://www.opentrain.ai/papers/spatialevo-self-evolving-spatial-intelligence-via-deterministic-geometric-enviro--arxiv-2604.14144/2026-04-16T08:08:09.076Z https://www.opentrain.ai/papers/collabcoder-plan-code-co-evolution-via-collaborative-decision-making-for-efficie--arxiv-2604.13946/2026-06-10T16:27:57.175Z https://www.opentrain.ai/papers/ui-copilot-advancing-long-horizon-gui-automation-via-tool-integrated-policy-opti--arxiv-2604.13822/2026-04-16T08:08:08.438Z https://www.opentrain.ai/papers/time-series-causal-discovery-with-variable-lags--arxiv-2605.04081/2026-06-10T00:38:30.531Z https://www.opentrain.ai/papers/c2-scalable-rubric-augmented-reward-modeling-from-binary-preferences--arxiv-2604.13618/2026-06-13T11:06:18.141Z https://www.opentrain.ai/papers/merrin-a-benchmark-for-multimodal-evidence-retrieval-and-reasoning-in-noisy-web--arxiv-2604.13418/2026-04-16T08:08:07.962Z https://www.opentrain.ai/papers/peer-predictive-self-training-for-language-model-reasoning--arxiv-2604.13356/2026-06-08T10:21:49.229Z https://www.opentrain.ai/papers/concrete-jungle-towards-concreteness-paved-contrastive-negative-mining-for-compo--arxiv-2604.13313/2026-04-22T00:10:18.227Z https://www.opentrain.ai/papers/unleashing-implicit-rewards-prefix-value-learning-for-distribution-level-optimiz--arxiv-2604.13197/2026-06-14T17:37:26.638Z https://www.opentrain.ai/papers/exploration-and-exploitation-errors-are-measurable-for-language-model-agents--arxiv-2604.13151/2026-04-16T08:07:55.823Z https://www.opentrain.ai/papers/dive-into-claude-code-the-design-space-of-today-s-and-future-ai-agent-systems--arxiv-2604.14228/2026-04-20T04:09:32.787Z https://www.opentrain.ai/papers/toward-autonomous-long-horizon-engineering-for-ml-research--arxiv-2604.13018/2026-06-10T10:17:56.837Z https://www.opentrain.ai/papers/learning-versatile-humanoid-manipulation-with-touch-dreaming--arxiv-2604.13015/2026-04-16T08:08:23.102Z https://www.opentrain.ai/papers/glotocr-bench-ocr-models-still-struggle-beyond-a-handful-of-unicode-scripts--arxiv-2604.12978/2026-04-16T08:08:34.810Z https://www.opentrain.ai/papers/videoflextok-flexible-length-coarse-to-fine-video-tokenization--arxiv-2604.12887/2026-04-16T00:48:39.828Z https://www.opentrain.ai/papers/habitat-gs-a-high-fidelity-navigation-simulator-with-dynamic-gaussian-splatting--arxiv-2604.12626/2026-04-15T14:15:31.138Z https://www.opentrain.ai/papers/artificial-intelligence-index-report-2026--arxiv-2606.15708/2026-06-16T05:14:17.731Z https://www.opentrain.ai/papers/domain-specific-latent-representations-improve-the-fidelity-of-diffusion-based-m--arxiv-2604.12152/2026-04-16T02:41:56.568Z https://www.opentrain.ai/papers/beyond-perception-errors-semantic-fixation-in-large-vision-language-models--arxiv-2604.12119/2026-04-16T01:39:35.609Z https://www.opentrain.ai/papers/tipsv2-advancing-vision-language-pretraining-with-enhanced-patch-text-alignment--arxiv-2604.12012/2026-04-20T21:18:38.527Z https://www.opentrain.ai/papers/narrative-driven-paper-to-slide-generation-via-arcdeck--arxiv-2604.11969/2026-04-17T07:34:05.382Z https://www.opentrain.ai/papers/hdr-video-generation-via-latent-alignment-with-logarithmic-encoding--arxiv-2604.11788/2026-04-17T07:34:06.830Z https://www.opentrain.ai/papers/clawgui-a-unified-framework-for-training-evaluating-and-deploying-gui-agents--arxiv-2604.11784/2026-06-14T01:19:40.535Z https://www.opentrain.ai/papers/lary-a-latent-action-representation-yielding-benchmark-for-generalizable-vision--arxiv-2604.11689/2026-04-16T01:39:41.170Z https://www.opentrain.ai/papers/rationalrewards-reasoning-rewards-scale-visual-generation-both-training-and-test--arxiv-2604.11626/2026-04-16T08:08:07.583Z https://www.opentrain.ai/papers/seeing-through-touch-tactile-driven-visual-localization-of-material-regions--arxiv-2604.11579/2026-04-16T01:39:44.087Z https://www.opentrain.ai/papers/semaclaw-a-step-towards-general-purpose-personal-ai-agents-through-harness-engin--arxiv-2604.11548/2026-04-16T08:07:54.398Z https://www.opentrain.ai/papers/do-thought-streams-matter-evaluating-reasoning-in-gemini-vision-language-models--arxiv-2604.11177/2026-04-16T08:08:22.899Z https://www.opentrain.ai/papers/actormind-emulating-human-actor-reasoning-for-speech-role-playing--arxiv-2604.11103/2026-06-14T08:24:14.010Z https://www.opentrain.ai/papers/sema-code-decoupling-ai-coding-agents-into-programmable-embeddable-infrastructur--arxiv-2604.11045/2026-04-16T08:07:54.047Z https://www.opentrain.ai/papers/you-only-judge-once-multi-response-reward-modeling-in-a-single-forward-pass--arxiv-2604.10966/2026-04-16T01:39:44.619Z https://www.opentrain.ai/papers/pokerl-reinforcement-learning-for-pokemon-red--arxiv-2604.10812/2026-04-16T08:08:33.758Z https://www.opentrain.ai/papers/reason-only-when-needed-efficient-generative-reward-modeling-via-model-internal--arxiv-2604.10072/2026-06-12T10:11:31.050Z https://www.opentrain.ai/papers/act-wisely-cultivating-meta-cognitive-tool-use-in-agentic-multimodal-models--arxiv-2604.08545/2026-06-15T19:20:53.010Z https://www.opentrain.ai/papers/meta-learning-in-context-enables-training-free-cross-subject-brain-decoding--arxiv-2604.08537/2026-04-21T09:38:26.305Z https://www.opentrain.ai/papers/psi-shared-state-as-the-missing-layer-for-coherent-ai-generated-instruments-in-p--arxiv-2604.08529/2026-06-15T12:11:26.727Z